code: def artanh(x):
      eps = BALL_EPS[x.dtype]
      return tf.atanh(tf.minimum(tf.maximum(x, -1 + eps), 1 - eps))
  
file_path: neural-structured-learning/research/kg_hyp_emb/utils/hyperbolic.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: artanh(x) and returns: tf